differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel source tree, but in a directory named after the distribution, containing only the files to be distributed. convert_path(pathname) Return 'pathname' as a name that will work on the native filesystem,

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel source tree, but in a directory named after the distribution, containing only the files to be distributed. convert_path(pathname) Return 'pathname' as a name that will work on the native filesystem,

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel source tree, but in a directory named after the distribution, containing only the files to be distributed. convert_path(pathname) Return 'pathname' as a name that will work on the native filesystem,

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel source tree, but in a directory named after the distribution, containing only the files to be distributed. convert_path(pathname) Return 'pathname' as a name that will work on the native filesystem,

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel source tree, but in a directory named after the distribution, containing only the files to be distributed. convert_path(pathname) Return 'pathname' as a name that will work on the native filesystem,

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel distribution may also provide a “virtual” project name, which does not correspond to any separately- distributed project: such a name might be used to indicate an abstract capability which could be supplied by

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel distribution may also provide a “virtual” project name, which does not correspond to any separately- distributed project: such a name might be used to indicate an abstract capability which could be supplied by

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel distribution may also provide a “virtual” project name, which does not correspond to any separately- distributed project: such a name might be used to indicate an abstract capability which could be supplied by

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel distribution may also provide a “virtual” project name, which does not correspond to any separately- distributed project: such a name might be used to indicate an abstract capability which could be supplied by

differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel distribution may also provide a “virtual” project name, which does not correspond to any separately- distributed project: such a name might be used to indicate an abstract capability which could be supplied by